QuantKuwait helps researchers, grad students, and teams turn messy data into publication-grade results. Transparent methods, clean code, figures that pass reviewer 2.
Acknowledgement or co-authorship discussed when appropriate. Your integrity stays intact.
We include session info, seeds, and environment files so results rerun exactly.
Clean tables, readable figures, and method text tailored to your field.
Merge, reshape, winsorize, outlier policy, codebooks.
Tables, balance checks, exploratory plots.
OLS/GLM, FE/RE, IV, DID, RDD with diagnostics.
ARIMA/VAR, unit roots, cointegration, event studies.
Power analyses, sample size, randomization checks.
Rmarkdown/Quarto/Notebook + LaTeX/Word tables.
We align on questions, deliverables, authorship/acknowledgement, and sign.
Secure handoff, codebook, sanity checks, and cleaning plan.
Models, diagnostics, sensitivity; async check-ins with drafts.
Code, outputs, tables/figures, methods text, and README.
QuantKuwait does not engage in ghostwriting. Substantial contributions to study design, analysis, or manuscript drafting are disclosed. We provide acknowledgement text and discuss co-authorship when warranted. Client data is handled confidentially with least-privilege access and secure transfer.
Notebook + report + tables. Code available on request with synthetic data.
Panel FE with clustered SEs. Figures ready for journal submission.
Event windows, abnormal returns, robustness checks.
Send 2–3 sentences on your research question and timeline.